Pandas Profiling Report

Dataset statistics

Number of variables	50
Number of observations	101766
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	38.8 MiB
Average record size in memory	400.0 B

Variable types

Numeric	13
Categorical	34
Boolean	3

Alerts

`examide` has constant value "False"	Constant
`citoglipton` has constant value "False"	Constant
`medical_specialty` has a high cardinality: 73 distinct values	High cardinality
`diag_1` has a high cardinality: 717 distinct values	High cardinality
`diag_2` has a high cardinality: 749 distinct values	High cardinality
`diag_3` has a high cardinality: 790 distinct values	High cardinality
`encounter_id` is highly correlated with `patient_nbr`	High correlation
`patient_nbr` is highly correlated with `encounter_id`	High correlation
`encounter_id` is highly correlated with `patient_nbr`	High correlation
`patient_nbr` is highly correlated with `encounter_id`	High correlation
`glipizide-metformin` is highly correlated with `examide` and 1 other fields	High correlation
`age` is highly correlated with `examide` and 1 other fields	High correlation
`tolbutamide` is highly correlated with `examide` and 1 other fields	High correlation
`metformin-rosiglitazone` is highly correlated with `examide` and 1 other fields	High correlation
`insulin` is highly correlated with `examide` and 3 other fields	High correlation
`race` is highly correlated with `examide` and 1 other fields	High correlation
`examide` is highly correlated with `glipizide-metformin` and 32 other fields	High correlation
`acarbose` is highly correlated with `examide` and 1 other fields	High correlation
`weight` is highly correlated with `examide` and 1 other fields	High correlation
`rosiglitazone` is highly correlated with `examide` and 1 other fields	High correlation
`pioglitazone` is highly correlated with `examide` and 1 other fields	High correlation
`readmitted` is highly correlated with `examide` and 1 other fields	High correlation
`glipizide` is highly correlated with `examide` and 1 other fields	High correlation
`nateglinide` is highly correlated with `examide` and 1 other fields	High correlation
`acetohexamide` is highly correlated with `examide` and 1 other fields	High correlation
`glimepiride-pioglitazone` is highly correlated with `examide` and 1 other fields	High correlation
`glyburide` is highly correlated with `examide` and 1 other fields	High correlation
`tolazamide` is highly correlated with `examide` and 1 other fields	High correlation
`citoglipton` is highly correlated with `glipizide-metformin` and 32 other fields	High correlation
`medical_specialty` is highly correlated with `examide` and 1 other fields	High correlation
`troglitazone` is highly correlated with `examide` and 1 other fields	High correlation
`miglitol` is highly correlated with `examide` and 1 other fields	High correlation
`payer_code` is highly correlated with `examide` and 1 other fields	High correlation
`metformin-pioglitazone` is highly correlated with `examide` and 1 other fields	High correlation
`diabetesMed` is highly correlated with `insulin` and 3 other fields	High correlation
`metformin` is highly correlated with `examide` and 1 other fields	High correlation
`repaglinide` is highly correlated with `examide` and 1 other fields	High correlation
`change` is highly correlated with `insulin` and 3 other fields	High correlation
`chlorpropamide` is highly correlated with `examide` and 1 other fields	High correlation
`A1Cresult` is highly correlated with `examide` and 1 other fields	High correlation
`gender` is highly correlated with `examide` and 1 other fields	High correlation
`glyburide-metformin` is highly correlated with `examide` and 1 other fields	High correlation
`max_glu_serum` is highly correlated with `examide` and 1 other fields	High correlation
`glimepiride` is highly correlated with `examide` and 1 other fields	High correlation
`encounter_id` is highly correlated with `patient_nbr` and 1 other fields	High correlation
`patient_nbr` is highly correlated with `encounter_id`	High correlation
`age` is highly correlated with `medical_specialty`	High correlation
`admission_type_id` is highly correlated with `admission_source_id` and 2 other fields	High correlation
`admission_source_id` is highly correlated with `admission_type_id` and 1 other fields	High correlation
`payer_code` is highly correlated with `encounter_id`	High correlation
`medical_specialty` is highly correlated with `age` and 1 other fields	High correlation
`max_glu_serum` is highly correlated with `admission_type_id` and 1 other fields	High correlation
`insulin` is highly correlated with `change` and 1 other fields	High correlation
`change` is highly correlated with `insulin` and 1 other fields	High correlation
`diabetesMed` is highly correlated with `insulin` and 1 other fields	High correlation
`number_emergency` is highly skewed (γ1 = 22.85558215)	Skewed
`encounter_id` has unique values	Unique
`num_procedures` has 46652 (45.8%) zeros	Zeros
`number_outpatient` has 85027 (83.6%) zeros	Zeros
`number_emergency` has 90383 (88.8%) zeros	Zeros
`number_inpatient` has 67630 (66.5%) zeros	Zeros

Reproduction

Analysis started	2022-04-09 15:39:04.616772
Analysis finished	2022-04-09 15:40:19.496057
Duration	1 minute and 14.88 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

encounter_id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	101766
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	165201645.6

Minimum	12522
Maximum	443867222
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	795.2 KiB

Quantile statistics

Minimum	12522
5-th percentile	27170784
Q1	84961194
median	152388987
Q3	230270887.5
95-th percentile	378962843
Maximum	443867222
Range	443854700
Interquartile range (IQR)	145309693.5

Descriptive statistics

Standard deviation	102640296
Coefficient of variation (CV)	0.6213031087
Kurtosis	-0.1020713932
Mean	165201645.6
Median Absolute Deviation (MAD)	70921143
Skewness	0.6991415513
Sum	1.681191067 × 10¹³
Variance	1.053503036 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2278392	1	< 0.1%
190792044	1	< 0.1%
190790070	1	< 0.1%
190789722	1	< 0.1%
190786806	1	< 0.1%
190785018	1	< 0.1%
190781412	1	< 0.1%
190775886	1	< 0.1%
190764504	1	< 0.1%
190760322	1	< 0.1%
Other values (101756)	101756	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
12522	1	< 0.1%
15738	1	< 0.1%
16680	1	< 0.1%
28236	1	< 0.1%
35754	1	< 0.1%
36900	1	< 0.1%
40926	1	< 0.1%
42570	1	< 0.1%
55842	1	< 0.1%
62256	1	< 0.1%

Value	Count	Frequency (%)
443867222	1	< 0.1%
443857166	1	< 0.1%
443854148	1	< 0.1%
443847782	1	< 0.1%
443847548	1	< 0.1%
443847176	1	< 0.1%
443842778	1	< 0.1%
443842340	1	< 0.1%
443842136	1	< 0.1%
443842070	1	< 0.1%

patient_nbr
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	71518
Distinct (%)	70.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	54330400.69

Minimum	135
Maximum	189502619
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	795.2 KiB

Quantile statistics

Minimum	135
5-th percentile	1456971.75
Q1	23413221
median	45505143
Q3	87545949.75
95-th percentile	111480273
Maximum	189502619
Range	189502484
Interquartile range (IQR)	64132728.75

Descriptive statistics

Standard deviation	38696359.35
Coefficient of variation (CV)	0.7122413759
Kurtosis	-0.3473720444
Mean	54330400.69
Median Absolute Deviation (MAD)	32950134
Skewness	0.4712807224
Sum	5.528987557 × 10¹²
Variance	1.497408227 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
88785891	40	< 0.1%
43140906	28	< 0.1%
1660293	23	< 0.1%
88227540	23	< 0.1%
23199021	23	< 0.1%
23643405	22	< 0.1%
84428613	22	< 0.1%
92709351	21	< 0.1%
88789707	20	< 0.1%
29903877	20	< 0.1%
Other values (71508)	101524	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
135	2	< 0.1%
378	1	< 0.1%
729	1	< 0.1%
774	1	< 0.1%
927	1	< 0.1%
1152	5	< 0.1%
1305	1	< 0.1%
1314	3	< 0.1%
1629	1	< 0.1%
2025	1	< 0.1%

Value	Count	Frequency (%)
189502619	1	< 0.1%
189481478	1	< 0.1%
189445127	1	< 0.1%
189365864	1	< 0.1%
189351095	1	< 0.1%
189349430	1	< 0.1%
189332087	1	< 0.1%
189298877	1	< 0.1%
189257846	2	< 0.1%
189215762	1	< 0.1%

race
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

Caucasian	76099
AfricanAmerican	19210
?	2273
Hispanic	2037
Other	1506

Length

Max length	15
Median length	9
Mean length	9.849507694
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Caucasian
2nd row	Caucasian
3rd row	AfricanAmerican
4th row	Caucasian
5th row	Caucasian

Common Values

Value	Count	Frequency (%)
Caucasian	76099	74.8%
AfricanAmerican	19210	18.9%
?	2273	2.2%
Hispanic	2037	2.0%
Other	1506	1.5%
Asian	641	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
caucasian	76099	74.8%
africanamerican	19210	18.9%
	2273	2.2%
hispanic	2037	2.0%
other	1506	1.5%
asian	641	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

gender
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

Female	54708
Male	47055
Unknown/Invalid	3

Length

Max length	15
Median length	6
Mean length	5.075496728
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Female
3rd row	Female
4th row	Male
5th row	Male

Common Values

Value	Count	Frequency (%)
Female	54708	53.8%
Male	47055	46.2%
Unknown/Invalid	3	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
female	54708	53.8%
male	47055	46.2%
unknown/invalid	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

age
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

[70-80)	26068
[60-70)	22483
[50-60)	17256
[80-90)	17197
[40-50)	9685
Other values (5)	9077

Length

Max length	8
Median length	7
Mean length	7.025863255
Min length	6

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	[0-10)
2nd row	[10-20)
3rd row	[20-30)
4th row	[30-40)
5th row	[40-50)

Common Values

Value	Count	Frequency (%)
[70-80)	26068	25.6%
[60-70)	22483	22.1%
[50-60)	17256	17.0%
[80-90)	17197	16.9%
[40-50)	9685	9.5%
[30-40)	3775	3.7%
[90-100)	2793	2.7%
[20-30)	1657	1.6%
[10-20)	691	0.7%
[0-10)	161	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
70-80	26068	25.6%
60-70	22483	22.1%
50-60	17256	17.0%
80-90	17197	16.9%
40-50	9685	9.5%
30-40	3775	3.7%
90-100	2793	2.7%
20-30	1657	1.6%
10-20	691	0.7%
0-10	161	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

weight
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

?	98569
[75-100)	1336
[50-75)	897
[100-125)	625
[125-150)	145
Other values (5)	194

Length

Max length	9
Median length	1
Mean length	1.217096083
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	?
2nd row	?
3rd row	?
4th row	?
5th row	?

Common Values

Value	Count	Frequency (%)
?	98569	96.9%
[75-100)	1336	1.3%
[50-75)	897	0.9%
[100-125)	625	0.6%
[125-150)	145	0.1%
[25-50)	97	0.1%
[0-25)	48	< 0.1%
[150-175)	35	< 0.1%
[175-200)	11	< 0.1%
>200	3	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
	98569	96.9%
75-100	1336	1.3%
50-75	897	0.9%
100-125	625	0.6%
125-150	145	0.1%
25-50	97	0.1%
0-25	48	< 0.1%
150-175	35	< 0.1%
175-200	11	< 0.1%
200	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

admission_type_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.024006053

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	795.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	3
95-th percentile	6
Maximum	8
Range	7
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.44540283
Coefficient of variation (CV)	0.7141296972
Kurtosis	1.942476114
Mean	2.024006053
Median Absolute Deviation (MAD)	0
Skewness	1.591984327
Sum	205975
Variance	2.08918934
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	53990	53.1%
3	18869	18.5%
2	18480	18.2%
6	5291	5.2%
5	4785	4.7%
8	320	0.3%
7	21	< 0.1%
4	10	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	53990	53.1%
2	18480	18.2%
3	18869	18.5%
4	10	< 0.1%
5	4785	4.7%
6	5291	5.2%
7	21	< 0.1%
8	320	0.3%

Value	Count	Frequency (%)
8	320	0.3%
7	21	< 0.1%
6	5291	5.2%
5	4785	4.7%
4	10	< 0.1%
3	18869	18.5%
2	18480	18.2%
1	53990	53.1%

discharge_disposition_id
Real number (ℝ_≥0)

Distinct	26
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.715641766

Minimum	1
Maximum	28
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	795.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	4
95-th percentile	18
Maximum	28
Range	27
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	5.280165509
Coefficient of variation (CV)	1.421064204
Kurtosis	6.003346764
Mean	3.715641766
Median Absolute Deviation (MAD)	0
Skewness	2.563066993
Sum	378126
Variance	27.88014781
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
1	60234	59.2%
3	13954	13.7%
6	12902	12.7%
18	3691	3.6%
2	2128	2.1%
22	1993	2.0%
11	1642	1.6%
5	1184	1.2%
25	989	1.0%
4	815	0.8%
Other values (16)	2234	2.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	60234	59.2%
2	2128	2.1%
3	13954	13.7%
4	815	0.8%
5	1184	1.2%
6	12902	12.7%
7	623	0.6%
8	108	0.1%
9	21	< 0.1%
10	6	< 0.1%

Value	Count	Frequency (%)
28	139	0.1%
27	5	< 0.1%
25	989	1.0%
24	48	< 0.1%
23	412	0.4%
22	1993	2.0%
20	2	< 0.1%
19	8	< 0.1%
18	3691	3.6%
17	14	< 0.1%

admission_source_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	17
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.754436649

Minimum	1
Maximum	25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	795.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	7
Q3	7
95-th percentile	17
Maximum	25
Range	24
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.064080834
Coefficient of variation (CV)	0.7062517293
Kurtosis	1.744989372
Mean	5.754436649
Median Absolute Deviation (MAD)	0
Skewness	1.029934878
Sum	585606
Variance	16.51675303
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
7	57494	56.5%
1	29565	29.1%
17	6781	6.7%
4	3187	3.1%
6	2264	2.2%
2	1104	1.1%
5	855	0.8%
3	187	0.2%
20	161	0.2%
9	125	0.1%
Other values (7)	43	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	29565	29.1%
2	1104	1.1%
3	187	0.2%
4	3187	3.1%
5	855	0.8%
6	2264	2.2%
7	57494	56.5%
8	16	< 0.1%
9	125	0.1%
10	8	< 0.1%

Value	Count	Frequency (%)
25	2	< 0.1%
22	12	< 0.1%
20	161	0.2%
17	6781	6.7%
14	2	< 0.1%
13	1	< 0.1%
11	2	< 0.1%
10	8	< 0.1%
9	125	0.1%
8	16	< 0.1%

time_in_hospital
Real number (ℝ_≥0)

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.395986872

Minimum	1
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	795.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	11
Maximum	14
Range	13
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.985107767
Coefficient of variation (CV)	0.6790529304
Kurtosis	0.8502508405
Mean	4.395986872
Median Absolute Deviation (MAD)	2
Skewness	1.133998719
Sum	447362
Variance	8.910868383
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
3	17756	17.4%
2	17224	16.9%
1	14208	14.0%
4	13924	13.7%
5	9966	9.8%
6	7539	7.4%
7	5859	5.8%
8	4391	4.3%
9	3002	2.9%
10	2342	2.3%
Other values (4)	5555	5.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	14208	14.0%
2	17224	16.9%
3	17756	17.4%
4	13924	13.7%
5	9966	9.8%
6	7539	7.4%
7	5859	5.8%
8	4391	4.3%
9	3002	2.9%
10	2342	2.3%

Value	Count	Frequency (%)
14	1042	1.0%
13	1210	1.2%
12	1448	1.4%
11	1855	1.8%
10	2342	2.3%
9	3002	2.9%
8	4391	4.3%
7	5859	5.8%
6	7539	7.4%
5	9966	9.8%

payer_code
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

?	40256
MC	32439
HM	6274
SP	5007
BC	4655
Other values (13)	13135

Length

Max length	2
Median length	2
Mean length	1.60442584
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	?
2nd row	?
3rd row	?
4th row	?
5th row	?

Common Values

Value	Count	Frequency (%)
?	40256	39.6%
MC	32439	31.9%
HM	6274	6.2%
SP	5007	4.9%
BC	4655	4.6%
MD	3532	3.5%
CP	2533	2.5%
UN	2448	2.4%
CM	1937	1.9%
OG	1033	1.0%
Other values (8)	1652	1.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	40256	39.6%
mc	32439	31.9%
hm	6274	6.2%
sp	5007	4.9%
bc	4655	4.6%
md	3532	3.5%
cp	2533	2.5%
un	2448	2.4%
cm	1937	1.9%
og	1033	1.0%
Other values (8)	1652	1.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

medical_specialty
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	73
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

?	49949
InternalMedicine	14635
Emergency/Trauma	7565
Family/GeneralPractice	7440
Cardiology	5352
Other values (68)	16825

Length

Max length	36
Median length	8
Mean length	8.612670243
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	< 0.1%

Sample

1st row	Pediatrics-Endocrinology
2nd row	?
3rd row	?
4th row	?
5th row	?

Common Values

Value	Count	Frequency (%)
?	49949	49.1%
InternalMedicine	14635	14.4%
Emergency/Trauma	7565	7.4%
Family/GeneralPractice	7440	7.3%
Cardiology	5352	5.3%
Surgery-General	3099	3.0%
Nephrology	1613	1.6%
Orthopedics	1400	1.4%
Orthopedics-Reconstructive	1233	1.2%
Radiologist	1140	1.1%
Other values (63)	8340	8.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	49949	49.1%
internalmedicine	14635	14.4%
emergency/trauma	7565	7.4%
family/generalpractice	7440	7.3%
cardiology	5352	5.3%
surgery-general	3099	3.0%
nephrology	1613	1.6%
orthopedics	1400	1.4%
orthopedics-reconstructive	1233	1.2%
radiologist	1140	1.1%
Other values (63)	8340	8.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

num_lab_procedures
Real number (ℝ_≥0)

Distinct	118
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.09564098

Minimum	1
Maximum	132
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	795.2 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	31
median	44
Q3	57
95-th percentile	73
Maximum	132
Range	131
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	19.67436225
Coefficient of variation (CV)	0.4565278947
Kurtosis	-0.2450735189
Mean	43.09564098
Median Absolute Deviation (MAD)	13
Skewness	-0.2365439206
Sum	4385671
Variance	387.0805299
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	3208	3.2%
43	2804	2.8%
44	2496	2.5%
45	2376	2.3%
38	2213	2.2%
40	2201	2.2%
46	2189	2.2%
41	2117	2.1%
42	2113	2.1%
47	2106	2.1%
Other values (108)	77943	76.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3208	3.2%
2	1101	1.1%
3	668	0.7%
4	378	0.4%
5	286	0.3%
6	282	0.3%
7	323	0.3%
8	366	0.4%
9	933	0.9%
10	838	0.8%

Value	Count	Frequency (%)
132	1	< 0.1%
129	1	< 0.1%
126	1	< 0.1%
121	1	< 0.1%
120	1	< 0.1%
118	1	< 0.1%
114	2	< 0.1%
113	3	< 0.1%
111	3	< 0.1%
109	4	< 0.1%

num_procedures
Real number (ℝ_≥0)

ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.339730362

Minimum	0
Maximum	6
Zeros	46652
Zeros (%)	45.8%
Negative	0
Negative (%)	0.0%
Memory size	795.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.705806979
Coefficient of variation (CV)	1.273246489
Kurtosis	0.8571103021
Mean	1.339730362
Median Absolute Deviation (MAD)	1
Skewness	1.316414763
Sum	136339
Variance	2.90977745
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
0	46652	45.8%
1	20742	20.4%
2	12717	12.5%
3	9443	9.3%
6	4954	4.9%
4	4180	4.1%
5	3078	3.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	46652	45.8%
1	20742	20.4%
2	12717	12.5%
3	9443	9.3%
4	4180	4.1%
5	3078	3.0%
6	4954	4.9%

Value	Count	Frequency (%)
6	4954	4.9%
5	3078	3.0%
4	4180	4.1%
3	9443	9.3%
2	12717	12.5%
1	20742	20.4%
0	46652	45.8%

num_medications
Real number (ℝ_≥0)

Distinct	75
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.02184423

Minimum	1
Maximum	81
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	795.2 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	10
median	15
Q3	20
95-th percentile	31
Maximum	81
Range	80
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	8.127566209
Coefficient of variation (CV)	0.5072803163
Kurtosis	3.468154915
Mean	16.02184423
Median Absolute Deviation (MAD)	5
Skewness	1.326672134
Sum	1630479
Variance	66.05733248
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	6086	6.0%
12	6004	5.9%
11	5795	5.7%
15	5792	5.7%
14	5707	5.6%
16	5430	5.3%
10	5346	5.3%
17	4919	4.8%
9	4913	4.8%
18	4523	4.4%
Other values (65)	47251	46.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	262	0.3%
2	470	0.5%
3	900	0.9%
4	1417	1.4%
5	2017	2.0%
6	2699	2.7%
7	3484	3.4%
8	4353	4.3%
9	4913	4.8%
10	5346	5.3%

Value	Count	Frequency (%)
81	1	< 0.1%
79	1	< 0.1%
75	2	< 0.1%
74	1	< 0.1%
72	3	< 0.1%
70	2	< 0.1%
69	5	< 0.1%
68	7	< 0.1%
67	7	< 0.1%
66	5	< 0.1%

number_outpatient
Real number (ℝ_≥0)

ZEROS

Distinct	39
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.3693571527

Minimum	0
Maximum	42
Zeros	85027
Zeros (%)	83.6%
Negative	0
Negative (%)	0.0%
Memory size	795.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	2
Maximum	42
Range	42
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.267265097
Coefficient of variation (CV)	3.431001911
Kurtosis	147.9077363
Mean	0.3693571527
Median Absolute Deviation (MAD)	0
Skewness	8.832958927
Sum	37588
Variance	1.605960825
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
0	85027	83.6%
1	8547	8.4%
2	3594	3.5%
3	2042	2.0%
4	1099	1.1%
5	533	0.5%
6	303	0.3%
7	155	0.2%
8	98	0.1%
9	83	0.1%
Other values (29)	285	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	85027	83.6%
1	8547	8.4%
2	3594	3.5%
3	2042	2.0%
4	1099	1.1%
5	533	0.5%
6	303	0.3%
7	155	0.2%
8	98	0.1%
9	83	0.1%

Value	Count	Frequency (%)
42	1	< 0.1%
40	1	< 0.1%
39	1	< 0.1%
38	1	< 0.1%
37	1	< 0.1%
36	2	< 0.1%
35	2	< 0.1%
34	1	< 0.1%
33	2	< 0.1%
29	2	< 0.1%

number_emergency
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	33
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.1978362125

Minimum	0
Maximum	76
Zeros	90383
Zeros (%)	88.8%
Negative	0
Negative (%)	0.0%
Memory size	795.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	1
Maximum	76
Range	76
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.9304722684
Coefficient of variation (CV)	4.703245461
Kurtosis	1191.686726
Mean	0.1978362125
Median Absolute Deviation (MAD)	0
Skewness	22.85558215
Sum	20133
Variance	0.8657786423
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
0	90383	88.8%
1	7677	7.5%
2	2042	2.0%
3	725	0.7%
4	374	0.4%
5	192	0.2%
6	94	0.1%
7	73	0.1%
8	50	< 0.1%
10	34	< 0.1%
Other values (23)	122	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	90383	88.8%
1	7677	7.5%
2	2042	2.0%
3	725	0.7%
4	374	0.4%
5	192	0.2%
6	94	0.1%
7	73	0.1%
8	50	< 0.1%
9	33	< 0.1%

Value	Count	Frequency (%)
76	1	< 0.1%
64	1	< 0.1%
63	1	< 0.1%
54	1	< 0.1%
46	1	< 0.1%
42	1	< 0.1%
37	1	< 0.1%
29	1	< 0.1%
28	1	< 0.1%
25	2	< 0.1%

number_inpatient
Real number (ℝ_≥0)

ZEROS

Distinct	21
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.6355659061

Minimum	0
Maximum	21
Zeros	67630
Zeros (%)	66.5%
Negative	0
Negative (%)	0.0%
Memory size	795.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	3
Maximum	21
Range	21
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.26286329
Coefficient of variation (CV)	1.986990299
Kurtosis	20.71939695
Mean	0.6355659061
Median Absolute Deviation (MAD)	0
Skewness	3.614138992
Sum	64679
Variance	1.594823689
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
0	67630	66.5%
1	19521	19.2%
2	7566	7.4%
3	3411	3.4%
4	1622	1.6%
5	812	0.8%
6	480	0.5%
7	268	0.3%
8	151	0.1%
9	111	0.1%
Other values (11)	194	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	67630	66.5%
1	19521	19.2%
2	7566	7.4%
3	3411	3.4%
4	1622	1.6%
5	812	0.8%
6	480	0.5%
7	268	0.3%
8	151	0.1%
9	111	0.1%

Value	Count	Frequency (%)
21	1	< 0.1%
19	2	< 0.1%
18	1	< 0.1%
17	1	< 0.1%
16	6	< 0.1%
15	9	< 0.1%
14	10	< 0.1%
13	20	< 0.1%
12	34	< 0.1%
11	49	< 0.1%

diag_1
Categorical

HIGH CARDINALITY

Distinct	717
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

428	6862
414	6581
786	4016
410	3614
486	3508
Other values (712)	77185

Length

Max length	6
Median length	3
Mean length	3.175215691
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	82 ?
Unique (%)	0.1%

Sample

1st row	250.83
2nd row	276
3rd row	648
4th row	8
5th row	197

Common Values

Value	Count	Frequency (%)
428	6862	6.7%
414	6581	6.5%
786	4016	3.9%
410	3614	3.6%
486	3508	3.4%
427	2766	2.7%
491	2275	2.2%
715	2151	2.1%
682	2042	2.0%
434	2028	2.0%
Other values (707)	65923	64.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
428	6862	6.7%
414	6581	6.5%
786	4016	3.9%
410	3614	3.6%
486	3508	3.4%
427	2766	2.7%
491	2275	2.2%
715	2151	2.1%
682	2042	2.0%
434	2028	2.0%
Other values (707)	65923	64.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

diag_2
Categorical

HIGH CARDINALITY

Distinct	749
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

276	6752
428	6662
250	6071
427	5036
401	3736
Other values (744)	73509

Length

Max length	6
Median length	3
Mean length	3.166194996
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	124 ?
Unique (%)	0.1%

Sample

1st row	?
2nd row	250.01
3rd row	250
4th row	250.43
5th row	157

Common Values

Value	Count	Frequency (%)
276	6752	6.6%
428	6662	6.5%
250	6071	6.0%
427	5036	4.9%
401	3736	3.7%
496	3305	3.2%
599	3288	3.2%
403	2823	2.8%
414	2650	2.6%
411	2566	2.5%
Other values (739)	58877	57.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
276	6752	6.6%
428	6662	6.5%
250	6071	6.0%
427	5036	4.9%
401	3736	3.7%
496	3305	3.2%
599	3288	3.2%
403	2823	2.8%
414	2650	2.6%
411	2566	2.5%
Other values (739)	58877	57.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

diag_3
Categorical

HIGH CARDINALITY

Distinct	790
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

250	11555
401	8289
276	5175
428	4577
427	3955
Other values (785)	68215

Length

Max length	6
Median length	3
Mean length	3.111658118
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	122 ?
Unique (%)	0.1%

Sample

1st row	?
2nd row	255
3rd row	V27
4th row	403
5th row	250

Common Values

Value	Count	Frequency (%)
250	11555	11.4%
401	8289	8.1%
276	5175	5.1%
428	4577	4.5%
427	3955	3.9%
414	3664	3.6%
496	2605	2.6%
403	2357	2.3%
585	1992	2.0%
272	1969	1.9%
Other values (780)	55628	54.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
250	11555	11.4%
401	8289	8.1%
276	5175	5.1%
428	4577	4.5%
427	3955	3.9%
414	3664	3.6%
496	2605	2.6%
403	2357	2.3%
585	1992	2.0%
272	1969	1.9%
Other values (780)	55628	54.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

number_diagnoses
Real number (ℝ_≥0)

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7.422606765

Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	795.2 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	6
median	8
Q3	9
95-th percentile	9
Maximum	16
Range	15
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.933600145
Coefficient of variation (CV)	0.2605014931
Kurtosis	-0.07905602427
Mean	7.422606765
Median Absolute Deviation (MAD)	1
Skewness	-0.8767462388
Sum	755369
Variance	3.738809521
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
9	49474	48.6%
5	11393	11.2%
8	10616	10.4%
7	10393	10.2%
6	10161	10.0%
4	5537	5.4%
3	2835	2.8%
2	1023	1.0%
1	219	0.2%
16	45	< 0.1%
Other values (6)	70	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	219	0.2%
2	1023	1.0%
3	2835	2.8%
4	5537	5.4%
5	11393	11.2%
6	10161	10.0%
7	10393	10.2%
8	10616	10.4%
9	49474	48.6%
10	17	< 0.1%

Value	Count	Frequency (%)
16	45	< 0.1%
15	10	< 0.1%
14	7	< 0.1%
13	16	< 0.1%
12	9	< 0.1%
11	11	< 0.1%
10	17	< 0.1%
9	49474	48.6%
8	10616	10.4%
7	10393	10.2%

max_glu_serum
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

None	96420
Norm	2597
>200	1485
>300	1264

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	None
2nd row	None
3rd row	None
4th row	None
5th row	None

Common Values

Value	Count	Frequency (%)
None	96420	94.7%
Norm	2597	2.6%
>200	1485	1.5%
>300	1264	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
none	96420	94.7%
norm	2597	2.6%
200	1485	1.5%
300	1264	1.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

A1Cresult
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

None	84748
>8	8216
Norm	4990
>7	3812

Length

Max length	4
Median length	4
Mean length	3.763614567
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	None
2nd row	None
3rd row	None
4th row	None
5th row	None

Common Values

Value	Count	Frequency (%)
None	84748	83.3%
>8	8216	8.1%
Norm	4990	4.9%
>7	3812	3.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
none	84748	83.3%
8	8216	8.1%
norm	4990	4.9%
7	3812	3.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

metformin
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	81778
Steady	18346
Up	1067
Down	575

Length

Max length	6
Median length	2
Mean length	2.732405715
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	81778	80.4%
Steady	18346	18.0%
Up	1067	1.0%
Down	575	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	81778	80.4%
steady	18346	18.0%
up	1067	1.0%
down	575	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

repaglinide
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	100227
Steady	1384
Up	110
Down	45

Length

Max length	6
Median length	2
Mean length	2.05528369
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	100227	98.5%
Steady	1384	1.4%
Up	110	0.1%
Down	45	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	100227	98.5%
steady	1384	1.4%
up	110	0.1%
down	45	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

nateglinide
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	101063
Steady	668
Up	24
Down	11

Length

Max length	6
Median length	2
Mean length	2.026472496
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	101063	99.3%
Steady	668	0.7%
Up	24	< 0.1%
Down	11	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	101063	99.3%
steady	668	0.7%
up	24	< 0.1%
down	11	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

chlorpropamide
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	101680
Steady	79
Up	6
Down	1

Length

Max length	6
Median length	2
Mean length	2.003124816
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	101680	99.9%
Steady	79	0.1%
Up	6	< 0.1%
Down	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	101680	99.9%
steady	79	0.1%
up	6	< 0.1%
down	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

glimepiride
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	96575
Steady	4670
Up	327
Down	194

Length

Max length	6
Median length	2
Mean length	2.187371028
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	96575	94.9%
Steady	4670	4.6%
Up	327	0.3%
Down	194	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	96575	94.9%
steady	4670	4.6%
up	327	0.3%
down	194	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

acetohexamide
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	101765
Steady	1

Length

Max length	6
Median length	2
Mean length	2.000039306
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	101765	> 99.9%
Steady	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	101765	> 99.9%
steady	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

glipizide
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	89080
Steady	11356
Up	770
Down	560

Length

Max length	6
Median length	2
Mean length	2.45736297
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	Steady
4th row	No
5th row	Steady

Common Values

Value	Count	Frequency (%)
No	89080	87.5%
Steady	11356	11.2%
Up	770	0.8%
Down	560	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	89080	87.5%
steady	11356	11.2%
up	770	0.8%
down	560	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

glyburide
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	91116
Steady	9274
Up	812
Down	564

Length

Max length	6
Median length	2
Mean length	2.375606784
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	91116	89.5%
Steady	9274	9.1%
Up	812	0.8%
Down	564	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	91116	89.5%
steady	9274	9.1%
up	812	0.8%
down	564	0.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

tolbutamide
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	101743
Steady	23

Length

Max length	6
Median length	2
Mean length	2.000904035
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	101743	> 99.9%
Steady	23	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	101743	> 99.9%
steady	23	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

pioglitazone
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	94438
Steady	6976
Up	234
Down	118

Length

Max length	6
Median length	2
Mean length	2.276516715
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	94438	92.8%
Steady	6976	6.9%
Up	234	0.2%
Down	118	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	94438	92.8%
steady	6976	6.9%
up	234	0.2%
down	118	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

rosiglitazone
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	95401
Steady	6100
Up	178
Down	87

Length

Max length	6
Median length	2
Mean length	2.241475542
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	95401	93.7%
Steady	6100	6.0%
Up	178	0.2%
Down	87	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	95401	93.7%
steady	6100	6.0%
up	178	0.2%
down	87	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

acarbose
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	101458
Steady	295
Up	10
Down	3

Length

Max length	6
Median length	2
Mean length	2.011654187
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	101458	99.7%
Steady	295	0.3%
Up	10	< 0.1%
Down	3	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	101458	99.7%
steady	295	0.3%
up	10	< 0.1%
down	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

miglitol
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	101728
Steady	31
Down	5
Up	2

Length

Max length	6
Median length	2
Mean length	2.001316746
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	101728	> 99.9%
Steady	31	< 0.1%
Down	5	< 0.1%
Up	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	101728	> 99.9%
steady	31	< 0.1%
down	5	< 0.1%
up	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

troglitazone
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	101763
Steady	3

Length

Max length	6
Median length	2
Mean length	2.000117918
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	101763	> 99.9%
Steady	3	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	101763	> 99.9%
steady	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

tolazamide
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	101727
Steady	38
Up	1

Length

Max length	6
Median length	2
Mean length	2.001493623
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	101727	> 99.9%
Steady	38	< 0.1%
Up	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	101727	> 99.9%
steady	38	< 0.1%
up	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

examide
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	99.5 KiB

False	101766

Common Values
Chart

Value	Count	Frequency (%)
False	101766	100.0%

citoglipton
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	99.5 KiB

False	101766

Common Values
Chart

Value	Count	Frequency (%)
False	101766	100.0%

insulin
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	47383
Steady	30849
Down	12218
Up	11316

Length

Max length	6
Median length	2
Mean length	3.45266592
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	Up
3rd row	No
4th row	Up
5th row	Steady

Common Values

Value	Count	Frequency (%)
No	47383	46.6%
Steady	30849	30.3%
Down	12218	12.0%
Up	11316	11.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	47383	46.6%
steady	30849	30.3%
down	12218	12.0%
up	11316	11.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

glyburide-metformin
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	101060
Steady	692
Up	8
Down	6

Length

Max length	6
Median length	2
Mean length	2.027317572
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	101060	99.3%
Steady	692	0.7%
Up	8	< 0.1%
Down	6	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	101060	99.3%
steady	692	0.7%
up	8	< 0.1%
down	6	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

glipizide-metformin
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	101753
Steady	13

Length

Max length	6
Median length	2
Mean length	2.000510976
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	101753	> 99.9%
Steady	13	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	101753	> 99.9%
steady	13	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

glimepiride-pioglitazone
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	101765
Steady	1

Length

Max length	6
Median length	2
Mean length	2.000039306
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	101765	> 99.9%
Steady	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	101765	> 99.9%
steady	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

metformin-rosiglitazone
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	101764
Steady	2

Length

Max length	6
Median length	2
Mean length	2.000078612
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	101764	> 99.9%
Steady	2	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	101764	> 99.9%
steady	2	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

metformin-pioglitazone
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	101765
Steady	1

Length

Max length	6
Median length	2
Mean length	2.000039306
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
No	101765	> 99.9%
Steady	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	101765	> 99.9%
steady	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

change
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

No	54755
Ch	47011

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	Ch
3rd row	No
4th row	Ch
5th row	Ch

Common Values

Value	Count	Frequency (%)
No	54755	53.8%
Ch	47011	46.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	54755	53.8%
ch	47011	46.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

diabetesMed
Boolean

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	99.5 KiB

True	78363
False	23403

Common Values
Chart

Value	Count	Frequency (%)
True	78363	77.0%
False	23403	23.0%

readmitted
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	795.2 KiB

NO	54864
>30	35545
<30	11357

Length

Max length	3
Median length	2
Mean length	2.460880844
Min length	2

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NO
2nd row	>30
3rd row	NO
4th row	NO
5th row	NO

Common Values

Value	Count	Frequency (%)
NO	54864	53.9%
>30	35545	34.9%
<30	11357	11.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
no	54864	53.9%
30	46902	46.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	encounter_id	patient_nbr	race	gender	age	weight	admission_type_id	discharge_disposition_id	admission_source_id	time_in_hospital	payer_code	medical_specialty	num_lab_procedures	num_procedures	num_medications	number_outpatient	number_inpatient	diag_1	diag_2	diag_3	number_diagnoses	max_glu_serum	A1Cresult	metformin	repaglinide	nateglinide	chlorpropamide	glimepiride	acetohexamide	glipizide	glyburide	tolbutamide	pioglitazone	rosiglitazone	acarbose	miglitol	troglitazone	tolazamide	examide	citoglipton	insulin	glyburide-metformin	glipizide-metformin	glimepiride-pioglitazone	metformin-rosiglitazone	metformin-pioglitazone	change	diabetesMed	readmitted
0	2278392	8222157	Caucasian	Female	[0-10)	?	6	25	1	1	?	Pediatrics-Endocrinology	41	0	1	0	0	250.83	?	?	1	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	NO
1	149190	55629189	Caucasian	Female	[10-20)	?	1	1	7	3	?	?	59	0	18	0	0	276	250.01	255	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	No	Ch	Yes	>30
2	64410	86047875	AfricanAmerican	Female	[20-30)	?	1	1	7	2	?	?	11	5	13	2	1	648	250	V27	6	None	None	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	NO
3	500364	82442376	Caucasian	Male	[30-40)	?	1	1	7	2	?	?	44	1	16	0	0	8	250.43	403	7	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	No	Ch	Yes	NO
4	16680	42519267	Caucasian	Male	[40-50)	?	1	1	7	1	?	?	51	0	8	0	0	197	157	250	5	None	None	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	Ch	Yes	NO
5	35754	82637451	Caucasian	Male	[50-60)	?	2	1	2	3	?	?	31	6	16	0	0	414	411	250	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	Yes	>30
6	55842	84259809	Caucasian	Male	[60-70)	?	3	1	2	4	?	?	70	1	21	0	0	414	411	V45	7	None	None	Steady	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	Ch	Yes	NO
7	63768	114882984	Caucasian	Male	[70-80)	?	1	1	7	5	?	?	73	0	12	0	0	428	492	250	8	None	None	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Yes	>30
8	12522	48330783	Caucasian	Female	[80-90)	?	2	1	4	13	?	?	68	2	28	0	0	398	427	38	8	None	None	No	No	No	No	No	No	Steady	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	Ch	Yes	NO
9	15738	63555939	Caucasian	Female	[90-100)	?	3	3	4	12	?	InternalMedicine	33	3	18	0	0	434	198	486	8	None	None	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	Steady	No	No	No	No	No	Ch	Yes	NO

Last rows

	encounter_id	patient_nbr	race	gender	age	weight	admission_type_id	discharge_disposition_id	admission_source_id	time_in_hospital	payer_code	medical_specialty	num_lab_procedures	num_procedures	num_medications	number_outpatient	number_emergency	number_inpatient	diag_1	diag_2	diag_3	number_diagnoses	max_glu_serum	A1Cresult	metformin	repaglinide	nateglinide	chlorpropamide	glimepiride	acetohexamide	glipizide	glyburide	tolbutamide	pioglitazone	rosiglitazone	acarbose	miglitol	troglitazone	tolazamide	examide	citoglipton	insulin	glyburide-metformin	glipizide-metformin	glimepiride-pioglitazone	metformin-rosiglitazone	metformin-pioglitazone	change	diabetesMed	readmitted
101756	443842070	140199494	Other	Female	[60-70)	?	1	1	7	2	MD	?	46	6	17	1	1	1	996	585	403	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	Yes	>30
101757	443842136	181593374	Caucasian	Female	[70-80)	?	1	1	7	5	?	?	21	1	16	0	0	1	491	518	511	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	Yes	NO
101758	443842340	120975314	Caucasian	Female	[80-90)	?	1	1	7	5	MC	?	76	1	22	0	1	0	292	8	304	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	No	Ch	Yes	NO
101759	443842778	86472243	Caucasian	Male	[80-90)	?	1	1	7	1	MC	?	1	0	15	3	0	0	435	784	250	7	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Up	No	No	No	No	No	Ch	Yes	NO
101760	443847176	50375628	AfricanAmerican	Female	[60-70)	?	1	1	7	6	DM	?	45	1	25	3	1	2	345	438	412	9	None	None	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	Down	No	No	No	No	No	Ch	Yes	>30
101761	443847548	100162476	AfricanAmerican	Male	[70-80)	?	1	3	7	3	MC	?	51	0	16	0	0	0	250.13	291	458	9	None	>8	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Down	No	No	No	No	No	Ch	Yes	>30
101762	443847782	74694222	AfricanAmerican	Female	[80-90)	?	1	4	5	5	MC	?	33	3	18	0	0	1	560	276	787	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Steady	No	No	No	No	No	No	Yes	NO
101763	443854148	41088789	Caucasian	Male	[70-80)	?	1	1	7	1	MC	?	53	0	9	1	0	0	38	590	296	13	None	None	Steady	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	Down	No	No	No	No	No	Ch	Yes	NO
101764	443857166	31693671	Caucasian	Female	[80-90)	?	2	3	7	10	MC	Surgery-General	45	2	21	0	0	1	996	285	998	9	None	None	No	No	No	No	No	No	Steady	No	No	Steady	No	No	No	No	No	No	No	Up	No	No	No	No	No	Ch	Yes	NO
101765	443867222	175429310	Caucasian	Male	[70-80)	?	1	1	7	6	?	?	13	3	3	0	0	0	530	530	787	9	None	None	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	No	NO

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length